1 / 25

PAC/AAC audio coding standard

PAC/AAC audio coding standard. A. Moreno antonio@ece.gatech.edu Georgia Institute of Technology ECE8873-Spring/2004. Overview. Audio Recording Coding-ultimate goal AAC Encoder Block Diagram Principles of Psychoacoustics Perceptual Entropy Quantization and Coding Samples. Introduction.

ifama
Download Presentation

PAC/AAC audio coding standard

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. PAC/AAC audio coding standard A. Morenoantonio@ece.gatech.eduGeorgia Institute of TechnologyECE8873-Spring/2004

  2. Overview • Audio Recording • Coding-ultimate goal • AAC Encoder Block Diagram • Principles of Psychoacoustics • Perceptual Entropy • Quantization and Coding • Samples

  3. Introduction "If a tree falls in the forest with no one around to hear it, does it make a sound?"

  4. Audio Recording • Edison, 1877

  5. Audio Recording • Philips, 1978 A/D Converter PCM

  6. Coding • Ultimate Goal: reduce the number of bits needed to represent the data. Bitrate = Fsa x Wordlength

  7. AAC Encoder Block Diagram Perceptual Model Iterative Rate Control Loop ScaleFactorExtract EntropyCoding s(n) Quant Gain Control Multi-ChannelM/S, Intensity MDCT TNS Prediction z^-1 Side information coding, Bitstream channel

  8. Principles of Psychoacoustics • Source localization. Two ears are necessary. Brain uses intensity differences, and time delays between the two perceived signals.

  9. audible inaudible Principles of Psychoacoustics Absolute Hearing Threshold

  10. Principles of Psychoacoustics • Human Ear Loudness characteristic Robinson and Dadson equi-loudness contours.

  11. Principles of Psychoacoustics • Critical BandsConcept introduced by Harvey Fletcher 1940. Frequency to Place Transform.Function of frequency that quantifies the cochlear filter passbands. Example: The critical band for a 1kHz is about 160Hz in width. A narrow band noise centered at 1kHz is perceived with the same loudness as long as the width < 160Hz.

  12. audible inaudible Principles of Psychoacoustics • Simultaneous Masking: Frequency

  13. Principles of Psychoacoustics Simplified Paradigms:Noise Masking Tone Tone Masking Noise THN 1Bark THT 1Bark K=3dB...5dB (constant)

  14. th 1Bark Principles of Psychoacoustics Spread of Masking

  15. Principles of Psychoacoustics • Masking: Temporal

  16. Perceptual Entropy • Perceptual Entropy, objective metric of perceptually relevant introduced by J. Johnston The perceived information from an audio signal is only a fraction of the total information emanated by the source.

  17. Perceptual Entropy • Procedure: • Window and transform to frequency. • Masking Threshold is computed using perceptual rules • A determination is made of the number of bits required to quantize the spectrum, without injecting perceptible noise.

  18. Perceptual Entropy Determine nature(Noise-like)(Tone-like) ApplyThresholdingrules HannWindow s(n) MDCT Spectral Flatness Measure Coefficient of ‘Tonality’ Offset JND Estimates

  19. Perceptual Entropy i: index of critical band; bli, blh: lower and upper bounds of band i; ki: number of transform component in band i; Ti: masking threshold in band i; nint: rounding to the nearest integer.

  20. Returning • "If a tree falls in the forest with no one around to hear it, does it make a sound?" From a Perceptual Coding standpoint, if no one can hear it, THERE IS NO TREE.

  21. AAC Encoder Block Diagram Perceptual Model Iterative Rate Control Loop ScaleFactorExtract EntropyCoding s(n) Quant Gain Control Multi-ChannelM/S, Intensity MDCT TNS Prediction z^-1 Side information coding, Bitstream channel

  22. Quantization and Coding • Power-law quantizer • Huffman Coding (table can be chosen) • Global Gain -> Quantization step size • Scale Factors -> noise shaping factor

  23. Quantization and Coding while NOISE_CTL while FINDING_RATE Nr_bits= get_bits_needed(); if (Nr_bits > max_bits) adjust_global_gain(); else FINDING_RATE=0; end q_noise=get_quant_noise_level(); if (q_noise> Th(band)) adjust_band_scale_factor(); else NOISE_CTL=0; end

  24. Samples 128kbps AAC Stereo (48kHz) Original 48kHz Stereo Castanets Piano Timpani

  25. References [1] Ted Painter and Andreas Spanias. Perceptual coding of digital audio. Proceedings of the IEEE, 88(4):449-513. Abril 2000. [2] Karlheinz Brandenburg, MP3 and AAC explained, AES 17th International Conference on High Quality Audio Coding, 1999. [3] J.D. Johnston, A.J. Ferreira, Sum-Difference Stereo Transform Coding, Proc. ICASSP 1992. [4] Deepen Sinha, James D. Johnston. Audio Compression at low bit rates using a Signal Adaptive switched Filterbank. Proc. of the ICASSP 1996, pp. 1053-1056 .

More Related